Information Retrieval Course

Textbooks
Introduction to Information Retrieval C D Manning, P Raghavan and H Schutze, Cambridge University Press (Textbook)

Search Engines Information Retrieval in Practice W. Bruce Croft, D. Metzler, T. Strohman, Pearson, 2009.
Information Retrieval Implementing and Evaluating Search Engines S Buttcher, C L. A. Clarke and G V. Cormack, MIT Press, 2010.
Modern Information Retrieval Baeza-Yates and Ribeiro-Neto, Addison Wesley, 1999.
A comprehensive survey by Ed Greengrass
Mining the Web, Soumen Charabarti, Morgan-Kaufmann, 2002.

Course Outline

Information retrieval covers the tasks of indexing, searching, and recalling data, particularly text or other unstructured forms. It has an important role to play in a large number of applications viz., digital libraries, office automation, internet and e-commerce. The aim of the course is to study theoretical aspects as well as implementation issues of classical and modern retrieval problems.

Evaluation Policy:
Endsem: 30% Midsem: 30% Assignments: 30% Attendance: 10%

Software Resources:

Datasets:

Course Content:

Topic	Textbook Chapter Link	Comments
Introduction	Chap 1
Boolean Retrieval	Chap 1
Vocabulary and Postings List	Chap 2
Skip Pointers and Phrase Queries	Chap 2
Dictionaries and Tolerant Retrieval	Chap 3
Index Construction	Chap 4
Index Compression	Chap 5
Vector Space Model	Chap 6
Scoring, Term Weighting	Chap 7
Evaluation in Information Retrieval	Chap 8
Relevance Feedback and Query Expansion	Chap 9
Language Models for Information Retrieval	Chap 12
Probabilistic Information Retrieval	Chap 11
Text Classification	Chap 13
Learning to Rank
Link Analysis - PageRank	Chap 21
Latent Semantic Indexing	Chap 18
Summarization
Information Extraction
Neural Information Retrieval
LLM in Information Retrieval